mirror of https://github.com/msberends/AMR.git
31 lines
1.5 KiB
Plaintext
31 lines
1.5 KiB
Plaintext
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/data.R
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\docType{data}
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\name{rsi_translation}
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\alias{rsi_translation}
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\title{Data set for RSI interpretation}
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\format{A \code{\link{data.frame}} with 11,559 observations and 9 variables:
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\describe{
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\item{\code{guideline}}{Name of the guideline}
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\item{\code{mo}}{Microbial ID, see \code{\link{as.mo}}}
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\item{\code{ab}}{Antibiotic ID, see \code{\link{as.ab}}}
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\item{\code{ref_tbl}}{Info about where the guideline rule can be found}
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\item{\code{S_mic}}{Lowest MIC value that leads to "S"}
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\item{\code{R_mic}}{Highest MIC value that leads to "R"}
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\item{\code{dose_disk}}{Dose of the used disk diffusion method}
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\item{\code{S_disk}}{Lowest number of millimeters that leads to "S"}
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\item{\code{R_disk}}{Highest number of millimeters that leads to "R"}
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}}
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\usage{
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rsi_translation
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}
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\description{
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Data set to interpret MIC and disk diffusion to RSI values. Included guidelines are CLSI (2011-2019) and EUCAST (2011-2019). Use \code{\link{as.rsi}} to transform MICs or disks measurements to RSI values.
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}
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\section{Read more on our website!}{
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On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a comprehensive tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}.
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}
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\keyword{datasets}
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